colAnyMissings {DelayedMatrixStats} | R Documentation |
Checks if there are any missing values in an object or not.
Please use base::anyNA()
instead of anyMissing()
,
colAnyNAs()
instead of colAnyMissings()
, and
rowAnyNAs()
instead of rowAnyMissings()
.
colAnyMissings(x, rows = NULL, cols = NULL, ..., useNames = NA) rowAnyMissings(x, rows = NULL, cols = NULL, ..., useNames = NA) ## S4 method for signature 'DelayedMatrix' colAnyMissings( x, rows = NULL, cols = NULL, force_block_processing = FALSE, ..., useNames = NA ) ## S4 method for signature 'DelayedMatrix' colAnyNAs( x, rows = NULL, cols = NULL, force_block_processing = FALSE, ..., useNames = NA ) ## S4 method for signature 'DelayedMatrix' rowAnyMissings( x, rows = NULL, cols = NULL, force_block_processing = FALSE, ..., useNames = NA ) ## S4 method for signature 'DelayedMatrix' rowAnyNAs( x, rows = NULL, cols = NULL, force_block_processing = FALSE, ..., useNames = NA )
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
... |
Additional arguments passed to specific methods. |
useNames |
If |
force_block_processing |
|
The implementation of this method is optimized for both speed and memory.
The method will return TRUE
as soon as a missing
value is detected.
Returns TRUE
if a missing value was
detected, otherwise FALSE
.
Peter Hickey
Peter Hickey
Starting with R v3.1.0, there is anyNA()
in the base,
which provides the same functionality as anyMissing()
.
# A DelayedMatrix with a 'matrix' seed dm_matrix <- DelayedArray(matrix(c(rep(1L, 5), as.integer((0:4) ^ 2), seq(-5L, -1L, 1L)), ncol = 3)) # A DelayedMatrix with a 'HDF5ArraySeed' seed # NOTE: Requires that the HDF5Array package is installed library(HDF5Array) dm_HDF5 <- writeHDF5Array(matrix(c(rep(1L, 5), as.integer((0:4) ^ 2), seq(-5L, -1L, 1L)), ncol = 3)) dm_matrix[dm_matrix > 3] <- NA colAnyNAs(dm_matrix) dm_HDF5[dm_HDF5 > 3] <- NA rowAnyNAs(dm_HDF5)